structured output benchmark
IF Leaderboard
Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
IF Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score84.8% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelMI | Score72.0% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
IF Highlights
The leading models and scores on this benchmark.
IF Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for IF
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis if AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAMistral Small 3.2 24B InstructMistral AI
- Score
- 84.8%
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures IF, not total model capability
- 02MIMiniMax M2MiniMax
- Score
- 72.0%
- Price
- $0.30 input / $1.2 output per 1M tokens
- Speed
- Up to 103 tok/s via MiniMax
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures IF, not total model capability
Selection summary
Best AI Models for IF
Mistral Small 3.2 24B Instruct currently leads IF with 84.8%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is IF?
What IF measures and how its scores work.
Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- IF
- Modality
- text
- Primary category
- structured output
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- if|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about IF.
Which model scores highest on IF?
Mistral Small 3.2 24B Instruct is currently ranked first with 84.8%.
What does IF measure?
Instruction-Following Evaluation (IFEval) benchmark for large language models, focusing on verifiable instructions with 25 types of instructions and around 500 prompts containing one or more verifiable constraints
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.